Impacts of measurement errors on real-time thermal rating estimation for overhead lines

Fan, Fulin and Stephen, Bruce and Bell, Keith and Infield, David and McArthur, Stephen (2022) Impacts of measurement errors on real-time thermal rating estimation for overhead lines. IEEE Transactions on Power Delivery, 38 (2). pp. 1086-1096. ISSN 0885-8977 (https://doi.org/10.1109/TPWRD.2022.3205248)

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Abstract

To exploit additional capacity on legacy transmission assets, network owners have developed a variety of techniques to support real-time thermal rating (RTTR) of overhead lines so as to get the maximum possible capacity within their operating range. Most RTTR techniques are inferred from effective weather conditions (EWCs) that are used to assess the thermal equilibrium of conductors indicated by the measured temperature , thus making RTTR estimates sensitive to measurement errors (MEs). To highlight the impacts that MEs have on RTTRs, this paper describes two EWC-based approaches to RTTR estimation and assesses the accuracy of their resulting estimates under steady state conditions given different levels of and weather variables. Furthermore, the paper develops a Monte Carlo-based approach to model the propagation of measurement uncertainties through to RTTR estimates. Numerous rating scenarios for a particular instance are generated through combining a Monte Carlo method, where possible MEs are sampled within the sensor specification based limits, with an enhanced EWC-based approach that models transient changes of in each scenario. The lower RTTR percentiles extracted from the rating samples can not only mitigate the RTTR overestimation due to MEs, but also inform system operators of the risk associated with RTTR decisions.

ORCID iDs

Fan, Fulin ORCID logoORCID: https://orcid.org/0000-0003-2450-6877, Stephen, Bruce ORCID logoORCID: https://orcid.org/0000-0001-7502-8129, Bell, Keith ORCID logoORCID: https://orcid.org/0000-0001-9612-7345, Infield, David and McArthur, Stephen ORCID logoORCID: https://orcid.org/0000-0003-1312-8874;
  • Item type:Article
    ID code:82000
    Dates:
    Date
    Event
    8 September 2022
    Published
    21 August 2022
    Accepted
    Notes:© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Faculty of Engineering
    Depositing user: Pure Administrator
    Date deposited:24 Aug 2022 13:10
    Last modified:17 Nov 2024 01:22
    URI:https://strathprints.strath.ac.uk/id/eprint/82000
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